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RAP opportunity at National Institute of Standards and Technology     NIST

Identifying Material Behavior from Measurements and Simulations in Advanced Mechanical Testing

Location

Material Measurement Laboratory, Materials Science and Engineering Division

opportunity location
50.64.21.C0832 Gaithersburg, MD

NIST only participates in the February and August reviews.

Advisers

name email phone
Dilip Kumar Banerjee dilip.banerjee@nist.gov 301.975.3538
Mark Anthony Iadicola mark.iadicola@nist.gov 301.975.5703
Steven Paxson Mates smates@nist.gov 301.975.8114

Description

The integration of measurements and simulations is increasingly used to improve the understanding of mechanical testing results and provides a means to advance the mechanical testing paradigm toward fewer, more complex tests that increase throughput and provide rich datasets that can be exploited by machine learning and artificial intelligence. Current advanced mechanical testing activities involve three-dimensional surface digital image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but there is interest in expanding to include inverse methods based on model-inspired analysis of experimental data by itself. Additional data streams from infrared imaging and diffraction stress measurements further enriches the available data from which material behavior can be extracted. Separate work is being done to develop robust algorithms to quantitatively compare the physical and simulated experimental results. This opportunity focuses on the use of inverse methods to determine material properties and key constitutive model parameters, and to develop new material-dependent test strategies to deliver more diverse information from fewer experiments.

key words
mechanics; digital image correlation; material properties; metals; polymers

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants

Stipend

Base Stipend Travel Allotment Supplementation
$82,764.00 $3,000.00
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